Jui-Kai “Ray” Wang, Ph.D. Assistant Professor School Medical School Department Ophthalmology Biography Jui-Kai (Ray) Wang, Ph.D., is an Assistant Professor in the Department of Ophthalmology. He joined UT Southwestern in 2024. Dr. Wang is a computer-engineering scientist, specializing in ophthalmic image analysis. He works with multiple ophthalmic image modalities, such as color fundus photographs, optical coherence tomography (OCT), OCT angiography (OCTA), and laser speckle flowgraphy (LSFG). He uses both traditional machine learning and advanced deep learning neural networks to advance the understanding and diagnosis of various ocular diseases. Dr. Wang earned his PhD in Electrical and Computer Engineering from The University of Iowa in 2016, where his dissertation focused on estimating papilledema severity using spectral-domain OCT. He also holds an MS in Computer and Communication Engineering from National Cheng Kung University, Taiwan, and a BS in Electronic Engineering from Southern Taiwan University of Science and Technology. Before joining UT Southwestern, Dr. Wang held positions as an Associate Research Scientist/Engineer at the University of Iowa and a Research Associate at the Iowa City Veterans Affairs (VA) Health Care System. He was a key contributor to multiple VA and NIH-funded projects, including those focused on the early detection of progressive visual loss in glaucoma and the use of laser speckle flowgraphy as an early indicator of microvasculopathy in radiation-induced vision loss. Dr. Wang is an active member of the Association for Research in Vision and Ophthalmology (ARVO) and has received several honors and awards, including the Xtreme Research Award from Heidelberg Engineering in 2021 and the Joseph M. and Eula C. Lawrence Travel Grant from ARVO in 2019. Education Undergraduate (2004), Engineering Graduate School University of Iowa (2016) Research Interest Ophthalmic Image Processing with Machine Learning Publications Featured Publications Archetypal Analysis Reveals Consistent Visual Field Patterns for Stimulus Sizes III and V in Glaucoma and NAION. Szanto D, Wall M, Chong LX, Woods B, Elze T, Wang JK, Garvin M, Kardon R, Kupersmith MJ, Transl Vis Sci Technol 2024 Dec 13 12 15 Hybrid deep learning and optimal graph search method for optical coherence tomography layer segmentation in diseases affecting the optic nerve. Chen Z, Zhang H, Linton EF, Johnson BA, Choi YJ, Kupersmith MJ, Sonka M, Garvin MK, Kardon RH, Wang JK, Biomed Opt Express 2024 Jun 15 6 3681-3698 Radiation effects on retinal layers revealed by OCT, OCT-A, and perimetry as a function of dose and time from treatment. Tamplin MR, Wang JK, Binkley EM, Garvin MK, Hyer DE, Buatti JM, Boldt HC, Grumbach IM, Kardon RH, Sci Rep 2024 Feb 14 1 3380 Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders. Wang JR, Linton EF, Johnson BA, Kupersmith MJ, Garvin MK, Kardon RH, Transl Vis Sci Technol 2024 Jan 13 1 13 Classifying and quantifying changes in papilloedema using machine learning. Branco J, Wang JK, Elze T, Garvin MK, Pasquale LR, Kardon R, Woods B, Szanto D, Kupersmith MJ, BMJ Neurol Open 2024 6 1 e000503 Archetypal analysis of longitudinal visual fields for idiopathic intracranial hypertension patients presenting in a clinic setting. Branco J, Elze T, Wang JK, Pasquale LR, Garvin MK, Kardon R, Kupersmith MJ, PLOS Digit Health 2023 May 2 5 e0000240 Neuro-ophthalmic features of patients with spontaneous cerebrospinal fluid leaks. Do T, Wang JK, Steele T, Strong EB, Shahlaie K, Liu YA, Med Hypothesis Discov Innov Ophthalmol 2023 12 3 106-114 Retinal arterial-venous pulse delay: a new specific marker for a carotid-cavernous fistula. Linton EF, Tedeschi TR, Ahmad NU, Wang JK, Kardon RH, Front Ophthalmol (Lausanne) 2023 3 1301410 Reduced blood flow by laser speckle flowgraphy after 125I-plaque brachytherapy for uveal melanoma. Tamplin MR, Wang JK, Vitale AH, Hashimoto R, Garvin MK, Binkley EM, Hyer DE, Buatti JM, Boldt HC, Kardon RH, Grumbach IM, BMC Ophthalmol 2022 Jun 22 1 285 Utility of Spectral-Domain Optical Coherence Tomography in Differentiating Papilledema From Pseudopapilledema: A Prospective Longitudinal Study. Jivraj I, Cruz CA, Pistilli M, Kohli AA, Liu GT, Shindler KS, Avery RA, Garvin MK, Wang JK, Ross A, Tamhankar MA, J Neuroophthalmol 2021 Dec 41 4 e509-e515 Results 1-10 of 27 1 2 3 Next Last Honors & Awards Exceptionally Good Review (2019)Journal of Translational Vision Science & Technology Joseph M. and Eula C. Lawrence Travel Grant (2019)ARVO Xtreme Research Award (2021)Ocular Imaging with SD-OCT for Raised Optic Disc Evaluation from Heidelberg Engineering
